Project Grant DESC0024859

This Project Grant award from the U.S. Department of Energy (DOE) Office of Science Financial Assistance Program (CFDA 81.049) provides $199,876 to Skutek Instrumentation, a woman-owned small business, to develop efficient high-performance data transfer solutions over the Energy Sciences Network (ESnet) for massive-scale data analytics. The project aims to advance data acquisition and processing capabilities to support scientific research and discovery aligned with national energy, economic, and...

This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a new data representation and storage system called LABIOS to address the challenges of storing and accessing massive and complex data sets in data-intensive computing. The $599,999 award to the Illinois Institute of Technology (IIT) will fund research to design and implement LABIOS, a...

This $296,000 Small Business Technology Transfer (STTR) Phase I Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program aims to accelerate data-intensive computing through a "Real-Time Smart Data Lake." The awardee, Airmettle Inc., will develop technology to enable large JSON data objects to be processed directly within a software-defined data lake storage solution. This will allow analytic client applications to efficiently retrieve...

This Project Grant award for $174,925, provided by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering), supports the development of novel data transfer optimization techniques for high-performance computing applications. The key project objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) develop a simulator that replicates complex storage and...

Exabyte Inc. was awarded a $199,705 Project Grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049). The grant will fund the WIDE-SCALE ADOPTION THROUGH VISUALLY-ENHANCED HPC CODES (WAVE-HPC)FOR SEMICONDUCTOR R & D project from February 21, 2023 through February 20, 2024. The project aims to develop visually-enhanced high-performance computing codes to accelerate the adoption of modeling and simulation technologies for...

The National Science Foundation (NSF) awarded a $2,400,001 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Georgia Tech Research Corporation, also known as the Office of Sponsored Programs. This 5-year collaborative research project, titled "RESEARCH INTO THE USE AND INTEGRATION OF DATA MOVEMENT ACCELERATORS (RUN-DMX)", aims to optimize communication overheads for high-performance computing (HPC) applications by supporting...

This Project Grant award of $289,136.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a scalable and extensible I/O runtime and tools for next-generation adaptive data layouts. The research aims to create a comprehensive data management solution that can address the data movement challenges posed by exascale computing. Key deliverables include: A scalable and tunable parallel I/O runtime that enables...

The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded a $599,276 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Research Foundation For The State University Of New York, doing business as Sponsored Projects Services, from October 1, 2023 to September 30, 2026. The grant supports the development of novel application-layer models, algorithms, and tools to enable energy-efficient and high-performance data...

This $727,999 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research to develop architectural "Data Transformation Units" (DTUs) that can improve data locality and processing performance for high-dimensional data workloads. The project, led by Trustees of Boston University, aims to create a foundational science of on-the-fly data transformation, explore architectural...

This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $500,000.00 to the University of Nebraska to develop an intelligent real-time traffic analysis framework and application-aware networking capabilities. The objectives are to: Integrate online-offline machine learning approaches for real-time network traffic analysis and prediction. Implement scalable techniques for analyzing Internet-scale network flow data in...